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基于K-Means算法的学生成绩聚类分析 被引量:9
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作者 钟文精 焦中明 蔡乐 《教育信息技术》 2021年第5期56-58,共3页
通过考试成绩来评价学生学习情况是我国基础教育最常用的方式。然而,考试成绩单往往只能提供成绩排名和及格率等数据,要从成绩单中直接获取学生在班级中的成绩分布以及偏科情况等具有一定难度。文章采用机器学习中的K-Means聚类算法,对... 通过考试成绩来评价学生学习情况是我国基础教育最常用的方式。然而,考试成绩单往往只能提供成绩排名和及格率等数据,要从成绩单中直接获取学生在班级中的成绩分布以及偏科情况等具有一定难度。文章采用机器学习中的K-Means聚类算法,对学生文理科成绩分数进行聚类分析,进而针对聚类结果作出分析与评价,为实施个性化教学策略提供直观参考数据。 展开更多
关键词 K-MEANS 学生成绩 机器学习
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基于群智能的电子学习资源过滤及收敛性分析
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作者 阴桂梅 刘耀军 《长春大学学报》 2011年第4期39-42,共4页
运用基于信息素挥发因子自适应变化的蚁群算法来优化电子学习资源的组织顺序,体现群体智能在资源共享和过滤中的优势作用,并且在此基础上运用教学实例实验研究将群体智能技术应用于解决电子学习资源过滤时的收敛性问题。实验结果表明利... 运用基于信息素挥发因子自适应变化的蚁群算法来优化电子学习资源的组织顺序,体现群体智能在资源共享和过滤中的优势作用,并且在此基础上运用教学实例实验研究将群体智能技术应用于解决电子学习资源过滤时的收敛性问题。实验结果表明利用群体智能来组织资源可以找到和领域专家干预基本相同的解决方案,同时学生参与数不需要很多即可获得好的收敛性。 展开更多
关键词 群体智能技术 电子学习资源过滤 收敛性分析 学生聚类
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面向重尾噪声的模糊规则模型 被引量:2
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作者 贾海宁 王士同 《南京大学学报(自然科学版)》 CAS CSCD 北大核心 2019年第1期61-72,共12页
针对一般模糊规则模型对含有重尾噪声的数据集鲁棒性较差的问题,提出了面向重尾噪声的模糊规则(Rule-based Fuzzy Model for Heavy-tailed Noisy Data,HtRbF)模型.该模型使用了两种新的聚类方法,学生t分布均值聚类算法(Student’s t-dis... 针对一般模糊规则模型对含有重尾噪声的数据集鲁棒性较差的问题,提出了面向重尾噪声的模糊规则(Rule-based Fuzzy Model for Heavy-tailed Noisy Data,HtRbF)模型.该模型使用了两种新的聚类方法,学生t分布均值聚类算法(Student’s t-distribution C-Means,StCM)和学生t分布下的背景模糊聚类方法(Student’s t-distribution Context Fuzzy C-Means,StCFCM),并将其应用在初始规则和新规则的生成中,使模型在重尾噪声场景下生成更为准确的规则,有效减少了模型的输出误差,使其更接近真实输出.HtRbF模型具有良好的抗噪能力,通过对数据集添加不同类型的重尾噪声进行系统性实验,实验结果证明了HtRbF模型的有效性. 展开更多
关键词 重尾噪声 学生t分布 模糊规则 学生t分布模糊 学生t分布背景模糊
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Significance of regenerating islet-derived type Ⅳ gene expression in gastroenterological cancers 被引量:6
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作者 Masakatsu Numata Takashi Oshima 《World Journal of Gastroenterology》 SCIE CAS CSCD 2012年第27期3502-3510,共9页
The regenerating islet-derived members (Reg), a group of small secretory proteins, which are involved in cell proliferation or differentiation in digestive organs, are upregulated in several gastrointestinal cancers... The regenerating islet-derived members (Reg), a group of small secretory proteins, which are involved in cell proliferation or differentiation in digestive organs, are upregulated in several gastrointestinal cancers, functioning as trophic or antiapoptotic factors. Regenerat- ing islet-derived type Ⅳ (RegⅣ), a member of the Reg gene family, has been reported to be overexpressed in gastroenterological cancers. RegIV overexpression in tumor cells has been associated with carcinogen- esis, cell growth, survival and resistance to apoptosis. Cancer tissue expressing RegIV is generally associated with more malignant characteristics than that with- out such expression, and RegⅣ is considered a novel prognostic factor as well as diagnostic marker in some gastroenterological cancers. We previously investigated the expression levels of RegⅣ mRNA of 202 surgical colorectal cancer specimens with quantitative real-time reverse-transcriptase polymerase chain reaction and reported that a higher level of RegⅣ gene expression was a significant independent predictor of colorec- tal cancer. The biologic functions of RegⅣ protein in cancer tissue, associated with carcinogenesis, anti- apoptosis and invasiveness, are being elucidated by molecular investigations using transfection techniques or neutralizing antibodies of RegIV, and the feasibility of antibody therapy targeting RegIV is being assessed. These studies may lead to novel therapeutic strate- gies for gastroenterological cancers expressing RegⅣ. This review article summarizes the current information related to biological functions as well as clinical impor- tance of RegⅣ gene to clarify the significance of Reg~ expression in gastroenterological cancers. 展开更多
关键词 Regenerating islet-derived type protein Gastrointestinal neoplasms Prognosis Epidermal growthfactor receptor/protein kinase B
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A study on interaspecific biodiversity of eight groups of silkworm (Bombyx mori) by biochemical markers
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作者 KAYVANETEBARI S.Z.MIRHOSEINI L.MATINDOOST 《Insect Science》 SCIE CAS CSCD 2005年第2期87-94,共8页
The recognition of biodiversity in different races and lines of silkworm (Bombyx mori) is very useful for breeding programs and production of high efficiency hybrids. In this study eight groups of silkworm were select... The recognition of biodiversity in different races and lines of silkworm (Bombyx mori) is very useful for breeding programs and production of high efficiency hybrids. In this study eight groups of silkworm were selected including 103, 107, Xihang 1 and 2 of Japanese origin and 104, 110, Koming 1 and 2 of Chinese origin. The activity levels of three enzymes including alkaline phosphatase, alanine aminotransferase and aspartate aminotransferase in haemolymph of fifth instar larva were measured. Moreover, the quantitative amount of total protein, cholesterol and glucose of haemolymph was evaluated.The data reveal that the activity level of measured macromolecules except for alkaline phosphatase were significantly different in all the groups. Hierarchical agglomerative clustering under UPGMA model separated line 104 from other groups. Two groups of Koming 1 and Xihang 1 had the most intergroup similarities. 展开更多
关键词 SILKWORM biochemical markers BIODIVERSITY hierarchical agglomerativeclustering
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